An Introduction to Machine Learning (ONLINE LIVE TRAINING)
Date: 24 - 26 June 2020
PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout.
Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment.
Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking here.''
Keywords: HDRUK
Venue: Craik-Marshall Building
City: Cambridge
Country: United Kingdom
Postcode: CB2 3AR
Organizer: University of Cambridge
Host institutions: University of Cambridge Bioinformatics Training
Target audience: This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research., Graduate students, Postdocs and Staff members from the University of Cambridge, Institutions and other external Institutions or individuals
Event types:
- Workshops and courses
Scientific topics: Data mining, Machine learning
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